GA, Atlanta - Colony Square

1201 Peachtree St. NE,, Atlanta, united states, 30361

The venue is located in the heart of midtown Atlanta, on the second floor of the 400 building on the corner of 14th Street...

GA, Atlanta - Proscenium

1170 Peachtree Street Suite, Atlanta, united states, 30309
The venue is located across the street from Colony Square in the same building as Yahoo Inc.

GA, Decatur - One West Court Square

1 W Ct Square #750, Decatur, united states, 30030
The venue is located on One West Court Square right next door to the DeKalb History Center Museum.

Atlanta, GA - One Hartsfield

100 Hartsfield Centre Parkway, Atlanta, united states, 30354
The venue is located just up the road from the Concourse Atlanta Airport and next door to the Renaissance Concourse Atlanta A...

GA, Atlanta - Downtown 260 Peachtree

260 Peachtree St NW, Atlanta, united states, 30303

The Regus 260 Peachtree office space in Atlanta is located at 260 Peachtree Street in the prestigious HUB zone.

Explore Our Courses

LangChain Fundamentals

 14 Hours
This instructor-led, live training in Atlanta (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.By the end of this training, participants will be able to:
  • Grasp the fundamental principles of LangChain.
  • Set up and configure the LangChain environment.
  • Understand the architecture and how LangChain interacts with large language models (LLMs).
  • Develop simple applications using LangChain.
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LangChain: Building AI-Powered Applications

 14 Hours
This instructor-led, live training in Atlanta (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.By the end of this training, participants will be able to:
  • Understand the fundamentals of LangChain and its components.
  • Integrate LangChain with large language models (LLMs) like GPT-4.
  • Build modular AI applications using LangChain.
  • Troubleshoot common issues in LangChain applications.
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